Recruits Lab
Senior Computational Biologist - Single-Cell Genomics & Machine Learning
New York, New York, US
Role snapshot
Recruits Lab is hiring a Senior Computational Biologist - Single-Cell Genomics & Machine Learning on a full-time basis. This is a hybrid role based in New York, New York, US.
- Company
- Recruits Lab
- Location
- New York, New York, US
- Work mode
- Hybrid
- Job type
- Full-time
- Experience
- 3–6 years
- Posted
- Nov 7, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what Recruits Lab publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Senior Computational Biologist - Single-Cell Genomics & Machine Learning
Location: New York City, NY (Hybrid)
Compensation: $145,000-$175,000 Base + Equity
Employment: Full-Time
Industry: Biotechnology AI-Driven Drug Discovery
About the Opportunity
Recruits Lab is partnering with an innovative, AI-driven biotechnology company transforming drug discovery through single-cell biology, multi-omics, and machine learning.
We're seeking a Senior Computational Biologist to lead cutting-edge research initiatives, analyze complex biological datasets, and collaborate with pharmaceutical, biotechnology, and academic partners to advance discoveries in immuno-oncology and autoimmune diseases.
Key Responsibilities
- Lead computational biology projects involving single-cell and multi-omics datasets.
- Develop and implement advanced bioinformatics and machine learning approaches.
- Analyze transcriptomic datasets to identify meaningful biological insights.
- Collaborate with multidisciplinary scientific and technical teams.
- Lead research projects involving external pharmaceutical and academic collaborators.
- Present complex scientific findings through reports, visualizations, and presentations.
- Apply emerging AI technologies, including LLM-based tools, to accelerate research workflows.
Required Qualifications
- PhD in Computational Biology, Bioinformatics, Systems Biology, or a related discipline with 3-6 years of postdoctoral or industry experience
- Strong expertise in single-cell RNA sequencing (scRNA-seq), transcriptomics, and multi-omics analysis.
- Advanced programming skills in Python and/or R.
- Experience applying machine learning to biological datasets.
- Research experience in immunology, immuno-oncology, or autoimmune diseases.
- Demonstrated ability to lead complex computational research projects.
- Strong scientific communication and stakeholder collaboration skills.
- First-author scientific publications and/or demonstrated industry project leadership.
Preferred Qualifications
- Experience with CAR-T biology or cancer immunotherapy.
- Experience collaborating with pharmaceutical or biotechnology partners.
- Familiarity with AI/LLM applications in computational biology.
- Experience working with large-scale biological datasets.
Compensation & Benefits
- Competitive base salary: $145,000-$175,000, with flexibility based on experience.
- Equity participation.
- Medical, dental, and vision insurance.
- 401(k) and additional retirement benefits.
- Paid parental leave.
- Professional growth in a research-driven biotechnology environment.
Apply
Interested candidates should submit their resume through Recruits Lab for confidential consideration.
Qualified applicants will receive additional details about the opportunity during the screening process.